Time–frequency maximum likelihood methods for direction finding

✍ Scribed by Yimin Zhang; Weifeng Mu; Moeness G. Amin

• Book ID: 104115480
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 253 KB
• Volume: 337
• Category: Article
• ISSN: 0016-0032
• DOI: 10.1016/s0016-0032(00)00031-4

✦ Synopsis

This paper proposes a novel time}frequency maximum likelihood (t}f ML) method for direction-of-arrival (DOA) estimation for nonstationary signals impinging on a multi-sensor array receiver, and compares this method with conventional maximum likelihood DOA estimation techniques. Time}frequency distributions localize the signal power in the time}frequency domain, and as such enhance the e!ective SNR, leading to improved DOA estimation. The localization of signals with di!erent time}frequency signatures permits the division of the time}frequency domain into smaller regions, each containing fewer signals than those incident on the array. The reduction of the number of signals within di!erent time}frequency regions not only reduces the required number of sensors, but also decreases the computational load in multidimensional optimizations. Compared to the recently proposed time}frequency MUSIC (t}f MUSIC), the proposed t}f ML method can be applied to coherent environments, without the need to perform any type of preprocessing that is subject to both array geometry and array aperture.